Actively Recruiting
Registry and Biobank to Improve Risk Prediction for Non-ischemic Cardiomyopathy Using Multimodal Imaging and Genetic Data
Led by Montreal Heart Institute · Updated on 2025-08-13
2000
Participants Needed
1
Research Sites
52 weeks
Total Duration
AI-Summary
What this Trial Is About
Researchers are creating a central database called CaNICM that includes a biobank and an imaging data repository for patients with non-ischemic cardiomyopathy NICM and their at-risk family members, including those carrying rare genetic variants linked to NICM but showing no symptoms. The goal is to improve the ability to predict heart rhythm disorder risks, optimize screening timing and methods for family members, and find better early treatments to prevent or slow the disease. A future phase aims to evaluate the risk prediction models performance in clinical settings compared to current approaches. Participants include patients diagnosed with NICM and their first-degree relatives. Clinical data, imaging cardiac magnetic resonance and transthoracic echocardiography, ECG data, and blood samples for genetic studies will be collected. Biospecimens are stored under strict conditions for long-term use. Imaging and ECG data are centrally interpreted and securely stored. Family members will have follow-up visits every three years with ECG, imaging, and Holter monitoring recommended. Participants will provide baseline clinical information through questionnaires and medical records. Follow-up involves yearly clinic visits or phone contact to assess health status and heart-related events, with all clinical data entered into a secure electronic database. Relevant medical reports and imaging from follow-up are also collected. Surgical tissue samples will be gathered if applicable. Participants may provide email contacts for study updates and optional future studies. The study involves long-term monitoring with data stored securely for up to 50 years.
CONDITIONS
Brief Title
Non-ischemic Cardiomyopathy Registry, Biobank and Imaging Data Repository
Research Team
M
Melissa Lavallée
C
Caroline Girard
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